$ ~/registry/skill/composiohq-composio-skills-chatbotkit-automation

SKILL

chatbotkit-automation

Name: chatbotkit-automation
Author: Composio

Automate Chatbotkit tasks via Rube MCP using current tool schemas first.

Stars

★ 67,763

Source

GitHub

Updated

2026-07-15

// securityCaution

Prompt only, no code
Open source
Community-trusted· 64.9k

Summary

This skill itself appears to be prompt-only/open-source material with no direct local key requirement or local code execution, so overall risk is relatively low. However, it explicitly depends on external Rube MCP/Composio services and a Chatbotkit connection, so real-world use involves network egress and third-party authorization that should be reviewed carefully.

CredentialsCaution

The material claims 'no API keys needed,' but it requires an active Chatbotkit connection via `RUBE_MANAGE_CONNECTIONS` and asks the user to complete an auth link. This implies third-party authorization/token delegation. It does not directly request local environment secrets, but tokens may be held or brokered by the external MCP service, creating normal delegated-credential risk.

Network egressCaution

The README explicitly instructs users to add the remote MCP endpoint `https://rube.app/mcp` and use Composio/Rube to discover and execute Chatbotkit tools. Therefore, user instructions, session IDs, tool arguments, and possibly business data will be sent to external services. No additional egress endpoints are listed; the currently evident recipients are Rube/Composio and the connected Chatbotkit service.

Code executionLow risk

Per the provided checks, this skill is prompt-only. The material does not ask the user to install executable components locally, run shell/scripts, or grant system-level execution privileges. Its described behavior is centered on invoking remote MCP tools rather than local code execution.

Data accessCaution

The material does not state direct access to local files or local resources. However, it performs Chatbotkit operations through remote tools and requires session reuse plus memory/argument passing, meaning user input and related business data may be processed by external services. No clearly excessive local data permissions are requested.

Supply chainLow risk

The source is an open GitHub repository, and the system marks it as open-source with very high community trust (64.9k), which are strong positive trust signals. The visible content is primarily documentation/skill description, making it relatively auditable. Although the license is unspecified and maintenance status is unknown, and real use depends on external Rube/Composio services, the current material does not show supply-chain red flags strong enough to justify a high-risk rating.

Recommendations

Before connecting to `https://rube.app/mcp`, verify its privacy policy, log retention practices, and whether it stores or brokers Chatbotkit tokens.
Grant Chatbotkit only the minimum permissions needed for the task, and regularly review/revoke third-party connections.
Avoid placing unnecessary sensitive data into tool arguments, memory, or sessions.
Cross-check the Composio/Chatbotkit official docs and consent screens to confirm data flows and the scope of executable actions.

Audited by: gpt-5.4 · 2026-06-17

// install

Copy the install command and let the AI configure it · recommended for beginners

Please install the "chatbotkit-automation" skill from askskill:
1. Download https://raw.githubusercontent.com/ComposioHQ/awesome-claude-skills/master/composio-skills/chatbotkit-automation/SKILL.md
2. Save it as ~/.claude/skills/chatbotkit-automation/SKILL.md
3. Reload skills and tell me it's ready

// download

Download SKILL.mdInstall manifest ↗

// docs

Chatbotkit Automation via Rube MCP

Automate Chatbotkit operations through Composio's Chatbotkit toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/chatbotkit

Prerequisites

Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
Active Chatbotkit connection via RUBE_MANAGE_CONNECTIONS with toolkit chatbotkit
Always call RUBE_SEARCH_TOOLS first to get current tool schemas

Setup

Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
Call RUBE_MANAGE_CONNECTIONS with toolkit chatbotkit
If connection is not ACTIVE, follow the returned auth link to complete setup
Confirm connection status shows ACTIVE before running any workflows

Tool Discovery

Always discover available tools before executing workflows:

RUBE_SEARCH_TOOLS
queries: [{use_case: "Chatbotkit operations", known_fields: ""}]
session: {generate_id: true}

This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.

Core Workflow Pattern

Step 1: Discover Available Tools

RUBE_SEARCH_TOOLS
queries: [{use_case: "your specific Chatbotkit task"}]
session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS
toolkits: ["chatbotkit"]
session_id: "your_session_id"

Step 3: Execute Tools

RUBE_MULTI_EXECUTE_TOOL
tools: [{
  tool_slug: "TOOL_SLUG_FROM_SEARCH",
  arguments: {/* schema-compliant args from search results */}
}]
memory: {}
session_id: "your_session_id"

Known Pitfalls

Always search first: Tool schemas change. Never hardcode tool slugs or arguments without calling RUBE_SEARCH_TOOLS
Check connection: Verify RUBE_MANAGE_CONNECTIONS shows ACTIVE status before executing tools
Schema compliance: Use exact field names and types from the search results
Memory parameter: Always include memory in RUBE_MULTI_EXECUTE_TOOL calls, even if empty ({})
Session reuse: Reuse session IDs within a workflow. Generate new ones for new workflows
Pagination: Check responses for pagination tokens and continue fetching until complete

Quick Reference

Operation	Approach
Find tools	`RUBE_SEARCH_TOOLS` with Chatbotkit-specific use case
Connect	`RUBE_MANAGE_CONNECTIONS` with toolkit `chatbotkit`
Execute	`RUBE_MULTI_EXECUTE_TOOL` with discovered tool slugs
Bulk ops	`RUBE_REMOTE_WORKBENCH` with `run_composio_tool()`
Full schema	`RUBE_GET_TOOL_SCHEMAS` for tools with `schemaRef`

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